https://cluster-site.onrender.com/tags/airesearch/ Recent content in Airesearch on Tenu Tech Brief Hugo -- 0.146.0 en-us Tue, 24 Feb 2026 06:06:03 +0000 https://cluster-site.onrender.com/posts/biscale-energy-efficient-disaggregated-llm-serving-via-phase-aware-placement-and-dvfs/ Tue, 24 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/biscale-energy-efficient-disaggregated-llm-serving-via-phase-aware-placement-and-dvfs/ • Prefill/decode disaggregation improves latency-throughput tradeoff for large language model serving. • Energy consumption remains high; autoscaling is too coarse-grained for rapi https://cluster-site.onrender.com/posts/fineref-fine-grained-error-reflection-and-correction-for-long-form-generation-with-citations/ Tue, 24 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/fineref-fine-grained-error-reflection-and-correction-for-long-form-generation-with-citations/ • FineRef introduces fine-grained error reflection for citation mismatch and irrelevance in long‑form LLM generation. • Two‑stage training: supervised fine‑tuning with attempt‑refl https://cluster-site.onrender.com/posts/quantifying-construct-validity-in-large-language-model-evaluations/ Wed, 18 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/quantifying-construct-validity-in-large-language-model-evaluations/ • LLM benchmarks often misrepresent true model capabilities due to contamination and annotator errors. • Construct validity is essential to ensure benchmarks truly measure desired